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MMLU vs AI2 Reasoning Challenge (ARC)
Side-by-side comparison of MMLU (Benchmark) and AI2 Reasoning Challenge (ARC) (Benchmark).
Live Data← All Comparisons
80.5
Composite Score
MMLU
Benchmark · UC Berkeley / CRFM
80.7
Composite Score
AI2 Reasoning Challenge (ARC)
Benchmark · Allen Institute for AI (AI2)
Overall Winner
AI2 Reasoning Challenge (ARC)
MMLU wins 4 of 6 categories · AI2 Reasoning Challenge (ARC) wins 2 of 6 categories
Score Comparison
MMLUvsAI2 Reasoning Challenge (ARC)
Composite
80.5:80.7
Adoption
96:78
Quality
88:85
Freshness
74:65
Citations
98:88
Engagement
0:70
Details
FieldMMLUAI2 Reasoning Challenge (ARC)
TypeBenchmarkBenchmark
ProviderUC Berkeley / CRFMAllen Institute for AI (AI2)
Version1.0v1.1
Categoryllmsai-benchmarks
Pricingopen-sourcefree
LicenseMITCC BY-SA 4.0
DescriptionMassive Multitask Language Understanding benchmark covering 57 academic subjects from STEM to humanities. Measures broad knowledge and reasoning ability through multiple-choice questions at varying difficulty levels from elementary to professional.The AI2 Reasoning Challenge (ARC) is a question-answering dataset designed to evaluate advanced reasoning capabilities in AI systems. It consists of elementary-level science questions specifically crafted to be difficult for retrieval-based methods and require deeper understanding and reasoning to answer correctly.
Capabilities
Only MMLU
model-evaluationknowledge-testingmulti-domain-assessmentreasoning-evaluation
Shared
None
Only AI2 Reasoning Challenge (ARC)
commonsense-reasoningscientific-reasoningknowledge-integrationinference
Integrations
Only MMLU
lm-eval-harnesshelm
Shared
None
Only AI2 Reasoning Challenge (ARC)
None
Tags
Only MMLU
benchmarkevaluationknowledgemultitask
Shared
reasoning
Only AI2 Reasoning Challenge (ARC)
question-answeringscienceelementary-schoolai2
Use Cases
MMLU
- ▸model comparison
- ▸knowledge assessment
- ▸training evaluation
- ▸research
AI2 Reasoning Challenge (ARC)
- ▸ai research
- ▸model evaluation
- ▸educational ai
- ▸knowledge representation
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